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How Quantal AI transformed manual healthcare fax processing into an automated, API-driven document extraction workflow.
How Quantal AI transformed manual healthcare fax processing into an automated, API-driven document extraction workflow.
Quantal AI worked with a healthcare operations client to build a deployment-ready OCR API that automatically processes incoming healthcare fax PDFs and extracts the required identifiers.
Quantal AI proposed building a focused, API-driven OCR solution that could process incoming PDF fax documents, extract Agency IDs and Order IDs and return structured JSON to the client's existing workflow.
The objective was to automate a repetitive manual step in the document intake process without introducing a large, complex platform, creating a reliable and extensible foundation for future automation.
The API accepts a single PDF, processes image-based or non-searchable content using Adobe PDF Services OCR, extracts the Agency ID and Order ID, and returns structured JSON to the client's workflow. The service also handles missing fields, invalid files, oversized uploads, unreadable PDFs, and OCR errors through defined responses.
Healthcare fax workflows often involve extracting critical information from incoming PDF documents.
For this client, Agency IDs and Order IDs had to be manually located and transferred from faxed forms into downstream workflows. This created repetitive work and slowed document intake.
The client needed a focused solution that could automate this step without introducing a large, complex platform.
Quantal AI built a deployment-ready OCR API that automatically processes incoming healthcare fax PDFs and extracts the required identifiers.
The solution helps the client:
Automated repetitive searching for Agency and Order IDs.
Move faster from incoming fax to structured workflow data.
Provide extracted identifiers through a consistent API response.
The focused architecture can be extended as document and workflow requirements evolve.
Rather than stopping at a working prototype, Quantal AI designed the service for deployment and operational reliability.
Key engineering considerations included:
Proven experience building deployment-ready OCR and document automation solutions for healthcare operations workflows.
Deep expertise in API development, PDF processing and structured data extraction for production environments.
Focused architecture designed to automate specific workflow steps without introducing large, complex platforms.
Production-grade engineering with PDF validation, error handling, UUID-based request tracing and Docker-based deployment built in from day one.
Senior AI Engineer/Developer